What is Configuring Chainer explain

This recipe explains what is Configuring Chainer explain

Recipe Objective - What is Configuring Chainer explain?

Chainer gives some worldwide settings that influence the conduct of certain functionalities. Such settings can be designed utilizing the bound unified configuration system.

The system gives a straightforward method to deal with the setup for each process and for each thread.

The configuration is managed by two objects: "chainer.global_config" and "chainer.config".

The "global_config" object keeps up with the setup partook in the Python interaction. This is an example of "the GlobalConfig" class.

It tends to be utilized similarly to plain objects, and users can openly set any attributes on it.

The "config" object, then again, keeps up with the arrangement for the current thread. This is an occurrence of the "LocalConfig" class.

It acts like a thread-local object, and any property alterations are simply apparent to the current thread.

Access Face Recognition Project Code using Facenet in Python

Example:-

import chainer

print(chainer.global_config.train)

print(chainer.config.train)


chainer.global_config.train = False

print(chainer.global_config.train)

print(chainer.config.train)

Confing Related Functions:-

1.chainer.config - Thread-local configuration of Chainer.

2.chainer.using_config - Context manager to temporarily change the thread-local configuration.

3.chainer.configuration.LocalConfig - Thread-local configuration of Chainer.

What Users are saying..

profile image

Gautam Vermani

Data Consultant at Confidential
linkedin profile url

Having worked in the field of Data Science, I wanted to explore how I can implement projects in other domains, So I thought of connecting with ProjectPro. A project that helped me absorb this topic... Read More

Relevant Projects

BigMart Sales Prediction ML Project in Python
The goal of the BigMart Sales Prediction ML project is to build and evaluate different predictive models and determine the sales of each product at a store.

Abstractive Text Summarization using Transformers-BART Model
Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.

Classification Projects on Machine Learning for Beginners - 2
Learn to implement various ensemble techniques to predict license status for a given business.

OpenCV Project for Beginners to Learn Computer Vision Basics
In this OpenCV project, you will learn computer vision basics and the fundamentals of OpenCV library using Python.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Build ARCH and GARCH Models in Time Series using Python
In this Project we will build an ARCH and a GARCH model using Python

AWS Project to Build and Deploy LSTM Model with Sagemaker
In this AWS Sagemaker Project, you will learn to build a LSTM model on Sagemaker for sales forecasting while analyzing the impact of weather conditions on Sales.

Image Segmentation using Mask R-CNN with Tensorflow
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.

AWS MLOps Project for ARCH and GARCH Time Series Models
Build and deploy ARCH and GARCH time series forecasting models in Python on AWS .

Build a Customer Churn Prediction Model using Decision Trees
Develop a customer churn prediction model using decision tree machine learning algorithms and data science on streaming service data.